The Impact of the Global Financial Crisis on Remittancing: Implications for Developing Countries
Bibliographic record
Abstract
Remittancing is increasingly seen as the bedrock of the diaspora’s contribution and engagement with the home country. Remittancing is, however, vulnerable to the fortunes of migrants who are in turn susceptible to fluctuations in the economies in which they are based. These locations tend to be the more developed or industrialized nations in the world. Unfortunately, these are among the nations that have been most adversely and directly hit by the global financial crisis of 2007-2009. This discussion aims to assess the real and potential impact of this downturn at the macro and micro level. It investigates the impact of the GFC on remittancing and the implications for the increasing dependence on this source of development funds. It is proposed that the downturn has highlighted the risks of basing development on financial returns from the Diaspora and that a reliance on remittancing indicates the continuing inability of many countries to provide opportunities at home. Nonetheless, the performance of remittancing, compared to other economic indicators, does suggest that this is a resilient source of income which can be scaled up for long term household and national development. The chapter therefore, argues for more diversification in the way such funds and importantly, diaspora talents and resources are utilized. To this end, it calls for specific attention to the boundary-crossing capabilities of diasporas and involving this group more entrepreneurially in areas such as private diplomacy, marking one way in which developing countries can build resilience in the face of global economic and political uncertainty. that are also dependent on this income source.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".